eric jones wrote:
> Where should these live?
> monte carlo and markov chain might fit in scipy.stats?
How about in monte_carlo or some such? I think there is too much stuff
put in odd places. Why is zeros in optimize? Makes no sense, but there
it is. I don't think now is the time to change all the directories
around, but
I hope we give some thought to the organization before it becomes
unmanageable.
The Dewey decimal classification was an achievement I am coming to
appreciate.
> kalman in scipy.signal?
OK.
> AI in... scipy.ai? Or should they all come in as new packages?
>> Also, Chris, how are the tests and docs for these packages?
>> eric
>> Travis Oliphant wrote:
>>>chris at fisher.forestry.uga.edu wrote:
>>>>> For the past couple of years, I have been maintaining a package called
>>> PyMC (http://pymc.sourceforge.net) which provides a general Markov
>>> chain
>>> Monte Carlo sampler (Metropolis-Hastings), linear and non-linear Kalman
>>> filtering algorithms and several reinforcement learning algorithms for
>>> AI applications. To date, it has been used mostly for ecological
>>> modeling applications, but is far more general than that. This package
>>> currently relies on SciPy, particularly for such tasks as plotting, and
>>> uses f2py extensively.
>>>>>> I am wondering if there is interest in integrating such functionality
>>> into SciPy. If so, I would be happy to contribute, integrate and
>>> maintain the code under the auspices of the SciPy project. If not, I am
>>> equally content to continue maintaining PyMC separately. I encourage
>>> those interested to check out PyMC and let me know if it would be
>>> worthwhile to add any of this to SciPy.
>>>>>>>>>>>>> Such additions would be fantastic. I share Robert's enthusiasm.
>> I would love to see these in SciPy.
>>>> -Travis
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